Nonlinear System Identification Based on Adaptive Neural Fuzzy Inference System

摘要：

System identification is the basis of designing control system, and it is very difficulty to identify the nonlinear system today. A new identification method of nonlinear system based adaptive neural fuzzy inference system (ANFIS) is provided in this paper, which assembles the advantages of fuzzy theory and neural networks. The structure and algorithms of ANFIS is introduced firstly, then a nonlinear function is tested using the method, and the simulation results show that ANFIS is very effective to identify the nonlinear system.

作者: HOU Zhi-xiang LI He-qing

作者单位: College of Automobile and Mechanical Engineering Changsha University of Science and Technology Chang College of Mechanical Engineering Central South University Changsha, 410083,China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 2067-2069

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）